Note that if you are using Splunk in a distributed environment, nf and nf reside on the Indexers (also called Search Peers) while nf reside on the Search Heads. This is achieved through configuring nf, nf and nf. This process is also known as adding custom fields during index time. You can configure Splunk to extract additional fields during index time based on your data and the constraints you specify. By default Splunk extracts many fields during index time. The process of creating fields from the raw data is called extraction. Splunk automatically creates many fields for you. This kind of flexibility in exploring data will never be possible with simple text searching. The above SPL searches the index web which happens have web access logs, with sourcetype equal to access_combined, status grater than or equal to 500 (indicating a server side error) and response_time grater than 6 seconds (or 6000 milli seconds). For example, consider the following SPL index=web sourcetype=access_combined status>=500 response_time>6000 Fields in Splunkįields turbo charge your searches by enabling you to customize and tailor your searches. The values are “main”, “access_combined_wcookie” and “purchase” respectively. The fields in the above SPL are “index”, “sourcetype” and “action”. index=main sourcetype=access_combined_wcookie action=purchase Also, a given field need not appear in all of your events. Virtually all searches in Splunk uses fields. What is a field?Ī field is a name-value pair that is searchable. By fully reading this article you will gain a deeper understanding of fields, and learn how to use rex command to extract fields from your data. I’ll also reveal one secret command that can make this process super easy. In my experience, rex is one of the most useful commands in the long list of SPL commands. I’ll provide plenty of examples with actual SPL queries. In this article, I’ll explain how you can extract fields using Splunk SPL’s rex command. Unfortunately, it can be a daunting task to get this working correctly. One of the most powerful features of Splunk, the market leader in log aggregation and operational data intelligence, is the ability to extract fields while searching for data.
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